Abstract: Thermal error is a major factor affecting CNC machine tools. Establishing an effective error prediction model is crucial for improving the machining ...

Abstract: This paper provides a comprehensive tutorial on a family of Model Predictive Control (MPC) formulations, known as MPC for tracking, which are characterized by including an artificial ...

Legal technology startup Theo Ai Inc. today announced it has raised $3.4 million in new funding led by Run Ventures, alongside plans to expand its artificial intelligence-powered litigation prediction ...

Jennifer Crawford (standing) and Kathleen Power are optimistic that an artificial intelligence tool developed by the Data Analytics department can help Waypoint managers and schedulers handle sick ...

Hospitals are increasingly using predictive artificial intelligence in healthcare delivery, but small, rural, independent and critical-access hospitals are lagging behind, according to data released ...

Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Background: Although identifying factors contributing to aggressive behavior in individuals with schizophrenia is crucial for developing targeted prevention strategies and intervention, most studies ...

Wildfire season is no longer something that comes and goes; it's becoming a year-round concern. In BC, wildfires can shape the entire year, and we want to know what's coming, what's at risk and how to ...

Please provide your email address to receive an email when new articles are posted on . AirStrip’s predictive tool offers early warnings to predict and respond to patient hemodynamic instability. The ...